Cargando…

Baveno-VII criteria to predict decompensation and initiate non-selective beta-blocker in compensated advanced chronic liver disease patients

BACKGROUND/AIMS: The utility of Baveno-VII criteria of clinically significant portal hypertension (CSPH) to predict decompensation in compensated advanced chronic liver disease (cACLD) patient needs validation. We aim to validate the performance of CSPH criteria to predict the risk of decompensation...

Descripción completa

Detalles Bibliográficos
Autores principales: Wong, Yu Jun, Zhaojin, Chen, Tosetti, Guilia, Degasperi, Elisabetta, Sharma, Sanchit, Agarwal, Samagra, Chuan, Liu, Huak, Chan Yiong, Jia, Li, Xiaolong, Qi, Saraya, Anoop, Primignani, Massimo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Association for the Study of the Liver 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9845679/
https://www.ncbi.nlm.nih.gov/pubmed/36064306
http://dx.doi.org/10.3350/cmh.2022.0181
_version_ 1784870961694113792
author Wong, Yu Jun
Zhaojin, Chen
Tosetti, Guilia
Degasperi, Elisabetta
Sharma, Sanchit
Agarwal, Samagra
Chuan, Liu
Huak, Chan Yiong
Jia, Li
Xiaolong, Qi
Saraya, Anoop
Primignani, Massimo
author_facet Wong, Yu Jun
Zhaojin, Chen
Tosetti, Guilia
Degasperi, Elisabetta
Sharma, Sanchit
Agarwal, Samagra
Chuan, Liu
Huak, Chan Yiong
Jia, Li
Xiaolong, Qi
Saraya, Anoop
Primignani, Massimo
author_sort Wong, Yu Jun
collection PubMed
description BACKGROUND/AIMS: The utility of Baveno-VII criteria of clinically significant portal hypertension (CSPH) to predict decompensation in compensated advanced chronic liver disease (cACLD) patient needs validation. We aim to validate the performance of CSPH criteria to predict the risk of decompensation in an international real-world cohort of cACLD patients. METHODS: cACLD patients were stratified into three categories (CSPH excluded, grey zone, and CSPH). The risks of decompensation across different CSPH categories were estimated using competing risk regression for clustered data, with death and hepatocellular carcinoma as competing events. The performance of “treating definite CSPH” strategy to prevent decompensation using non-selective beta-blocker (NSBB) was compared against other strategies in decision curve analysis. RESULTS: One thousand one hundred fifty-nine cACLD patients (36.8% had CSPH) were included; 7.2% experienced decompensation over a median follow-up of 40 months. Non-invasive assessment of CSPH predicts a 5-fold higher risk of liver decompensation in cACLD patients (subdistribution hazard ratio, 5.5; 95% confidence interval, 4.0–7.4). “Probable CSPH” is suboptimal to predict decompensation risk in cACLD patients. CSPH exclusion criteria reliably exclude cACLD patients at risk of decompensation, regardless of etiology. Among the grey zone, the decompensation risk was negligible among viral-related cACLD, but was substantially higher among the non-viral cACLD group. Decision curve analysis showed that “treating definite CSPH” strategy is superior to “treating all varices” or “treating probable CSPH” strategy to prevent decompensation using NSBB. CONCLUSIONS: Non-invasive assessment of CSPH may stratify decompensation risk and the need for NSBB in cACLD patients.
format Online
Article
Text
id pubmed-9845679
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher The Korean Association for the Study of the Liver
record_format MEDLINE/PubMed
spelling pubmed-98456792023-01-31 Baveno-VII criteria to predict decompensation and initiate non-selective beta-blocker in compensated advanced chronic liver disease patients Wong, Yu Jun Zhaojin, Chen Tosetti, Guilia Degasperi, Elisabetta Sharma, Sanchit Agarwal, Samagra Chuan, Liu Huak, Chan Yiong Jia, Li Xiaolong, Qi Saraya, Anoop Primignani, Massimo Clin Mol Hepatol Original Article BACKGROUND/AIMS: The utility of Baveno-VII criteria of clinically significant portal hypertension (CSPH) to predict decompensation in compensated advanced chronic liver disease (cACLD) patient needs validation. We aim to validate the performance of CSPH criteria to predict the risk of decompensation in an international real-world cohort of cACLD patients. METHODS: cACLD patients were stratified into three categories (CSPH excluded, grey zone, and CSPH). The risks of decompensation across different CSPH categories were estimated using competing risk regression for clustered data, with death and hepatocellular carcinoma as competing events. The performance of “treating definite CSPH” strategy to prevent decompensation using non-selective beta-blocker (NSBB) was compared against other strategies in decision curve analysis. RESULTS: One thousand one hundred fifty-nine cACLD patients (36.8% had CSPH) were included; 7.2% experienced decompensation over a median follow-up of 40 months. Non-invasive assessment of CSPH predicts a 5-fold higher risk of liver decompensation in cACLD patients (subdistribution hazard ratio, 5.5; 95% confidence interval, 4.0–7.4). “Probable CSPH” is suboptimal to predict decompensation risk in cACLD patients. CSPH exclusion criteria reliably exclude cACLD patients at risk of decompensation, regardless of etiology. Among the grey zone, the decompensation risk was negligible among viral-related cACLD, but was substantially higher among the non-viral cACLD group. Decision curve analysis showed that “treating definite CSPH” strategy is superior to “treating all varices” or “treating probable CSPH” strategy to prevent decompensation using NSBB. CONCLUSIONS: Non-invasive assessment of CSPH may stratify decompensation risk and the need for NSBB in cACLD patients. The Korean Association for the Study of the Liver 2023-01 2022-09-05 /pmc/articles/PMC9845679/ /pubmed/36064306 http://dx.doi.org/10.3350/cmh.2022.0181 Text en Copyright © 2023 by The Korean Association for the Study of the Liver https://creativecommons.org/licenses/by-nc/3.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Wong, Yu Jun
Zhaojin, Chen
Tosetti, Guilia
Degasperi, Elisabetta
Sharma, Sanchit
Agarwal, Samagra
Chuan, Liu
Huak, Chan Yiong
Jia, Li
Xiaolong, Qi
Saraya, Anoop
Primignani, Massimo
Baveno-VII criteria to predict decompensation and initiate non-selective beta-blocker in compensated advanced chronic liver disease patients
title Baveno-VII criteria to predict decompensation and initiate non-selective beta-blocker in compensated advanced chronic liver disease patients
title_full Baveno-VII criteria to predict decompensation and initiate non-selective beta-blocker in compensated advanced chronic liver disease patients
title_fullStr Baveno-VII criteria to predict decompensation and initiate non-selective beta-blocker in compensated advanced chronic liver disease patients
title_full_unstemmed Baveno-VII criteria to predict decompensation and initiate non-selective beta-blocker in compensated advanced chronic liver disease patients
title_short Baveno-VII criteria to predict decompensation and initiate non-selective beta-blocker in compensated advanced chronic liver disease patients
title_sort baveno-vii criteria to predict decompensation and initiate non-selective beta-blocker in compensated advanced chronic liver disease patients
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9845679/
https://www.ncbi.nlm.nih.gov/pubmed/36064306
http://dx.doi.org/10.3350/cmh.2022.0181
work_keys_str_mv AT wongyujun bavenoviicriteriatopredictdecompensationandinitiatenonselectivebetablockerincompensatedadvancedchronicliverdiseasepatients
AT zhaojinchen bavenoviicriteriatopredictdecompensationandinitiatenonselectivebetablockerincompensatedadvancedchronicliverdiseasepatients
AT tosettiguilia bavenoviicriteriatopredictdecompensationandinitiatenonselectivebetablockerincompensatedadvancedchronicliverdiseasepatients
AT degasperielisabetta bavenoviicriteriatopredictdecompensationandinitiatenonselectivebetablockerincompensatedadvancedchronicliverdiseasepatients
AT sharmasanchit bavenoviicriteriatopredictdecompensationandinitiatenonselectivebetablockerincompensatedadvancedchronicliverdiseasepatients
AT agarwalsamagra bavenoviicriteriatopredictdecompensationandinitiatenonselectivebetablockerincompensatedadvancedchronicliverdiseasepatients
AT chuanliu bavenoviicriteriatopredictdecompensationandinitiatenonselectivebetablockerincompensatedadvancedchronicliverdiseasepatients
AT huakchanyiong bavenoviicriteriatopredictdecompensationandinitiatenonselectivebetablockerincompensatedadvancedchronicliverdiseasepatients
AT jiali bavenoviicriteriatopredictdecompensationandinitiatenonselectivebetablockerincompensatedadvancedchronicliverdiseasepatients
AT xiaolongqi bavenoviicriteriatopredictdecompensationandinitiatenonselectivebetablockerincompensatedadvancedchronicliverdiseasepatients
AT sarayaanoop bavenoviicriteriatopredictdecompensationandinitiatenonselectivebetablockerincompensatedadvancedchronicliverdiseasepatients
AT primignanimassimo bavenoviicriteriatopredictdecompensationandinitiatenonselectivebetablockerincompensatedadvancedchronicliverdiseasepatients